Sequential correction of perspective warp in camera-based documents

Documents captured with hand-held devices, such as digital cameras often exhibit perspective warp artifacts. These artifacts pose problems for OCR systems which at best can only handle in-plane rotation. We propose a method for recovering the planar appearance of an input document image by examining the vertical rate of change in scale of features in the document. Our method makes fewer assumptions about the document structure than do previously published algorithms.

[1]  Maurizio Pilu,et al.  Extraction of illusory linear clues in perspectively skewed documents , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[2]  Yang Cao,et al.  Skew detection and correction in document images bsed on straight-line fitting , 2003, Pattern Recognit. Lett..

[3]  Adnan Amin,et al.  A Document Skew Detection Method Using the Hough Transform , 2000, Pattern Analysis & Applications.

[4]  Antonio Criminisi,et al.  Creating Architectural Models from Images , 1999, Comput. Graph. Forum.

[5]  T. Lindeberg Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales , 1994 .

[6]  Andrew D. Bagdanov,et al.  Projection profile based skew estimation algorithm for JBIG compressed images , 1998, International Journal on Document Analysis and Recognition.

[7]  F. A. Heuvel VANISHING POINT DETECTION FOR ARCHITECTURAL PHOTOGRAMMETRY , 1998 .

[8]  Chin-Chuan Han,et al.  A fast approach to the detection and correction of skew documents , 1997, Pattern Recognit. Lett..

[9]  Yue Lu,et al.  A nearest-neighbor chain based approach to skew estimation in document images , 2003, Pattern Recognit. Lett..